[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan remove --outdated works with a pattern too Duplicated issue of https://github.com/conan-io/docs/issues/1987 to make the changes to the source code as well Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: inconsistency between CU1 and CU3 gate definitions <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? This is not a bug or enhancement request as such, but seems like an internal inconsistency in Qiskit's gate definitions. In [the gate definitions](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/terra/summary_of_quantum_operations.ipynb), U1 is defined as [1,0,0,e^(iλ)], while an Rz is a [e^(-iλ/2),0,0,e^(iλ/2)]. U3 is defined in the docs similarly to U1 - ie. a U3 is a U1*Ry*U1. Therefore, a U3(0,0,a) = U1(a). However, CU3 is defined in the docs in such a way that CU3(0,0,a) != CU1(a). CU3 is instead defined using the Rz definition, rather than the U1. So: U3(0,0,a) = U1(a) CU3(0,0,a) != CU1(a) This is a confusing set of definitions. I assume that these definitions were a conscious decision, and that you are aware of the inconsistency, but I don't understand why? I hope this hasn't been asked already - I couldn't find a duplicate. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: MLflow Trainer Callback # 🚀 Feature request A callback to log hyperparameters, metrics and cofings/weights to MLFlow, like the existing wandb and Tensorboard callbacks. ## Motivation I use MLFlow as my primary experiment tracking tool. It is convenient to run on a remote server and log the results from any of your training machines, andit also facilitates collaboration. Trainer is an amazing tool, it makes it very simple to train models, however, the only way to modify the training loop to include custom logging seems to add a callback. ## Your contribution I can contribute a PR. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: gnome compile_resources doesn't work in C++ projects **Describe the bug** `gnome.compile_resources` form the GNOME module always generates C source files. Those files can't be added to C++ executables. **To Reproduce** ``` project('example', 'cpp') gnome = import('gnome') gtkmm = dependency('gtkmm-3.0') gresources = gnome.compile_resources('gresources', 'main.gresource.xml') executable(meson.project_name(), gresources, 'main.cpp', dependencies: gtkmm) ``` Gives the following error: ``` $ meson _build The Meson build system Version: 0.55.3 Source dir: example Build dir: example/_build Build type: native build Project name: example Project version: undefined C++ compiler for the host machine: ccache c++ (gcc 10.2.0 "c++ (Debian 10.2.0-13) 10.2.0") C++ linker for the host machine: c++ ld.bfd 2.35.1 Host machine cpu family: x86_64 Host machine cpu: x86_64 Found pkg-config: /usr/bin/pkg-config (0.29.2) Run-time dependency gtkmm-3.0 found: YES 3.24.2 Found pkg-config: /usr/bin/pkg-config (0.29.2) meson.build:9:0: ERROR: No host machine compiler for "gresources.c" ``` **Expected behavior** A C++ source file should be generated named `gresources.cpp` instead of the C source file. It's possible to do that with `run_command('glib-compile-resources', '--target=gresources.cpp', '--generate-source', 'main.gresource.xml')`. **system parameters** * Is this a cross build: No * what operating system: `Debian GNU/Linux bullseye/sid` * what Python version are you using: `Python 3.8.6` * what `meson --version`: `0.55.3` * what `ninja --version` if it's a Ninja build: `1.10.1` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Flush log buffer when printing logs ``` bash $ docker-compose up -d && docker-compose logs &> composer.log ``` Someone correct me if I am wrong here, but what happens in the above is that nothing gets written to `composer.log` until `docker-compose logs` is killed, at which time stdout/stderr are unbuffered and written to `composer.log`? Flush log buffer when printing logs ``` bash $ docker-compose up -d && docker-compose logs &> composer.log ``` Someone correct me if I am wrong here, but what happens in the above is that nothing gets written to `composer.log` until `docker-compose logs` is killed, at which time stdout/stderr are unbuffered and written to `composer.log`? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Add a warning when linking a non-extension package This will prevent a developer from accidentally forgetting to include the `jupyterlab: extension` metadata. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Make it easy to open a documentation bug from the docs themselves Maybe we can add paragraph level "report bug" links that link to the issues/new page? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Performance regression caused by dagnode op property <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: main after https://github.com/Qiskit/qiskit-terra/commit/3c979ebd - **Python version**: any - **Operating system**: any ### What is the current behavior? After PR #6199 merged a regression was flagged on our nightly benchmarks for certain transpiler passes where we're accessing a dag node's op frequently. For example: https://qiskit.github.io/qiskit/#passes.PassBenchmarks.time_cx_cancellation?machine=dedicated-benchmarking-softlayer-baremetal&os=Linux%204.15.0-46-generic&ram=16GB&p-n_qubits=5&p-depth=1024&commits=3c979ebd As was pointed out in #6433 this is caused by python function call overhead from using `@property` especially compared to a slotted attribute access that was there before.. ### Steps to reproduce the problem Run a transpiler pass or any dagnode operation that frequently uses `dagnode.op` ### What is the expected behavior? No performance regression. ### Suggested solutions Either revert the change or change our internal dagnode usage to use the `_op` attribute on access for performance critical code (which is part of what #6433 does for one pass). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: "run_mlm_wwm.py", line 284 AttributeError: 'DataTrainingArguments' object has no attribute 'valid_ref_file' Hi! There is a tiny typo in the code "transformers/examples/language-modeling/run_mlm_wwm.py" at line 284. It should be: `if data_args.validation_ref_file is not None:` since at line 103 in `DataTrainingArguments` it defined as `validation_ref_file:` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: fix 'conda env create` using remote env file Fix `conda env create mfix/mfix-18.1.0-osx64` in master. Broken in https://github.com/conda/conda/pull/7385. xref: https://github.com/conda/conda/issues/7111 Can also remove the deprecation warnings now (they were apparently placed in the wrong code location to begin with). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: _FOR_BUILD environment variables are broken Using the _FOR_BUILD environment variables in a cross compilation has stopped working. this should work: ```console PKG_CONFIG_PATH=/foo PKG_CONFIG_PATH_FOR_BUILD=/bar meson build --cross-file cross ``` and should be equivalent to ```console meson build --cross-file cross -Dpkg_config_path=/foo -Dbuild.pkg_config_path=/bar ``` This has stopped working on master, and is due to #8603 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: ENH: call np.positive in ndarray.__pos__, and issue a deprecation warning when it falls As I wrote in https://github.com/numpy/numpy/pull/8967#issuecomment-300273518: > Probably, the desired behavior is something like: ```python def __pos__(self): try: return np.positive(self) except TypeError: issue deprecation warning return self.copy() ``` > (This may be a little tricky, though, because it will need to be done in C.) This will be useful for ndarray subclasses that override `__array_ufunc__`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy.polynomial.polynomial.polyfit and numpy.polyfit return coefficients in different order ### Summary This may be a 'historical reasons' issue, but it looks like ``numpy.polynomial.polynomial.polyfit`` and ``numpy.polyfit`` return coefficients in reverse order from each other. I wonder if one of the functions should be deprecated from the public API in future, as having two functions with the same name in the same package that operate differently can lead to confusion? ### Reproducing code example: ```python import numpy as np from numpy.polynomial.polynomial import polyfit x = np.linspace(0, 1, 100) y = x ** 3 p1 = np.polyfit(x, y, 3) p2 = polyfit(x, y, 3) print('p1', p1) print('p2', p2) ``` ### Result ``` p1 [ 1.00000000e+00 4.64782291e-16 -7.05817953e-16 -1.47054969e-17] p2 [-1.93895090e-16 8.46391197e-16 -7.28660556e-16 1.00000000e+00] ``` ### Numpy/Python version information: Python 3.6, Numpy 1.15.0, installed with conda. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: update defining-an-op-hook example to use correct slack post_message syntax ### Dagster Documentation Gap This issue was generated from the slack conversation at: https://dagster.slack.com/archives/C01U954MEER/p1646834812267849?thread_ts=1646834812.267849&cid=C01U954MEER ### Conversation excerpt U036U6EF7R6: Hi, does someone have a complete example on how to integrate slack to send messages on failure or success, because i dont understand the one in the documentation. Thanks U017KUAENS0: what issues are you having with the example in the documentation? U036U6EF7R6: I kind of solved it. 1)in this page:<https://docs.dagster.io/concepts/ops-jobs-graphs/op-hooks> I saw this sintaxis: ```context.resources.slack.chat.post_message``` , but it was: context.resources.slack.chat_postMessage. 2)When using dbt run_config didn't work and i had to use "slack": slack_resource.configured({"token":TOKEN}), in resources_defs 3)And it would be usefull to have an example with the config part for the hooks U017KUAENS0: gotcha, sounds like we're using out of date syntax with our example here. Thanks for surfacing U017KUAENS0: <@U018K0G2Y85> update defining-an-op-hook example to use correct slack post_message syntax U016C4E5CP8: <@U018K0G2Y85> docs update defining-an-op-hook example to use correct slack post_message syntax --- #### Message from the maintainers: Are you looking for the same documentation content? Give it a :thumbsup:. We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Prune extension in IPython/extensions 1) remove the following code from IPython/__init__.py ``` # Make it easy to import extensions - they are always directly on pythonpath. # Therefore, non-IPython modules can be added to extensions directory. # This should probably be in ipapp.py. sys.path.append(os.path.join(os.path.dirname(__file__), "extensions")) ``` There is a context manager in laod_extension that takes care of this. 2) Cythonmagic, sympyprinting and rmagic are deprecated, remove corresponding files add notes to whats new. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: ability to do AssetSelection.key_prefix(..) ### What's the use case? We generally structure our key prefixes similar to catalogs and schemas on the underlying data structure and by source systems. Rather than having to create a job from a mixture of groups, for instance, it would be neat to have something like ```python ingress_job = define_asset_job( name="ingress_finance_from_dw", selection=AssetSelection.key_prefix(["old_datawarehouse", "finance"]), ) ``` ### Ideas of implementation _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: List subdirectories In order to navigate (potentially broad) directory hierarchies in buckets, it would be useful to be able to list the sub-directories in a bucket at a given prefix. Happy to attempt to implement such a method if someone points me in the correct direction. Seems like perhaps a new Iterator? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy.angle shouldn't return negative values according to documentation? I was surprised that numpy.angle returns negative values. The documentation for [numpy.angle](http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.angle.html) says: > The **counterclockwise** angle from the positive real axis on the complex plane .. This means the values should go from 0 to (2pi). But that is not what happens. For example: > numpy.angle( 1 - 1j ) > **-0.78539816339744828** I believe this should be that value plus (2pi) or **5.497787143782138** If I am wrong, I believe the documentation should be clarified to give the intended output range as **(-pi, +pi]** Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [build system] Set a default value for GNU standard installation directories After the agreement on #3388 we should make sure that the GNU installation dirs are set to a default value by the build helpers: - CMake: https://cmake.org/cmake/help/v3.0/module/GNUInstallDirs.html - Autotools: https://www.gnu.org/prep/standards/html_node/Directory-Variables.html The way I see it those default values should be: - BINDIR, SBINDIR and LIBEXECDIR --> bin - INCLUDEDIR, OLDINCLUDEDIR --> include - LIBDIR --> lib (already done in #3388 ) - DATAROOTDIR --> rootdir **??** (to make sure everything is installed inside pacakge folder, or is it enough to set `--prefix` for that?) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: HF models use deprecated pytorch function invocations Masks are frequently created in `uint8` type, see e.g. here https://github.com/huggingface/transformers/blob/8fb4d0e4b46282d96386c229b9fb18bf7c80c25a/src/transformers/models/gpt_neox_japanese/modeling_gpt_neox_japanese.py#L186 or here https://github.com/huggingface/transformers/blame/52dd2b61bff8af5b6409fdd5ec92a9b3114f3636/src/transformers/models/codegen/modeling_codegen.py#L101, and then used in `torch.where`. Use of `uint8` masks in `torch.where` has been deprecated for couple years, and though it still works in pytorch eager (with a warning), support for this has been removed in `torch.compile`. It would be good to audit places where uint8 masks are used and replace them with bool masks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Why has the CLI worker command flag `optimizations` changed from `--optimizations` in 5.*? This question is referencing this code: https://github.com/celery/celery/blob/3b1c768c39f641a70d3086bd5a1079a421f94344/celery/bin/worker.py#L169 ``` @click.option('optimization', '-O', default='default', cls=CeleryOption, type=click.Choice(('default', 'fair')), help_group="Worker Options", help="Apply optimization profile.") ``` Why has the flag removed the double hyphen? It seems like a bug, but I assume there was a reason for it? The reason I'm asking is that this change breaks a bunch of code we have, so I'd like to understand the change. Why has the CLI worker command flag `optimizations` changed from `--optimizations` in 5.*? This question is referencing this code: https://github.com/celery/celery/blob/3b1c768c39f641a70d3086bd5a1079a421f94344/celery/bin/worker.py#L169 ``` @click.option('optimization', '-O', default='default', cls=CeleryOption, type=click.Choice(('default', 'fair')), help_group="Worker Options", help="Apply optimization profile.") ``` Why has the flag removed the double hyphen? It seems like a bug, but I assume there was a reason for it? The reason I'm asking is that this change breaks a bunch of code we have, so I'd like to understand the change. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: PubSub subscription with ack_deadline set causes HTTP 400 Page Name: pubsub-usage Release: 0.7.1 This appears to return an API error: ``` subscription = topic.subscription('subscription_name', ack_deadline=600) ``` Here is what I am seeing: ``` ... File "/home/greg.taylor/workspace/aclima/sig-cassandra-extractor/aclima/cass_extractor/queue.py", line 42, in run self.subscription.create() File "/home/greg.taylor/.virtualenvs/cas-e/lib/python3.4/site-packages/gcloud/pubsub/subscription.py", line 121, in create client.connection.api_request(method='PUT', path=self.path, data=data) File "/home/greg.taylor/.virtualenvs/cas-e/lib/python3.4/site-packages/gcloud/connection.py", line 419, in api_request error_info=method + ' ' + url) gcloud.exceptions.BadRequest: 400 Invalid JSON payload received. Unknown name "ack_deadline": Cannot find field. (PUT https://pubsub.googleapis.com/v1/projects/aclima-gsa/subscriptions/cassandra_extractor) ``` If I remove the `ack_deadline` kwarg, all is well. We definitely want the ack_deadline, thoguh. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: cmd_def.get error messaging <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the current behavior? `CMdDef.get` error messaging returns a standard error. For example ``` cmd_def.get('u3', qubits=(1, 0), P0=2*np.pi, P1=0., P2=np.pi) ``` returns ``` 'Command u3 for qubits (1, 0) is not present in CmdDef' ``` because `'u3'` is not a two-qubit gate (wrong user input). ### What is the expected enhancement? A more informative error message could suggest that `'u3'` is present but that the `qubits` argument is wrong. Potentially, the error message could suggest the correct qubits format. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add `qubits` and `clbits` arguments to QuantumCircuit.from_instructions ### What should we add? These arguments can be used to initialize the QuantumCircuit. That way the user can control the ordering of `circuit.qubits`; otherwise, they will be in the order that the qubits are added. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Stack trace and unfriendly error when an env file doesn't exist ``` Traceback (most recent call last): File "<string>", line 3, in <module> File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 31, in main File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 21, in sys_dispatch File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 28, in dispatch File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 24, in dispatch File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 60, in perform_command File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 445, in up File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.project", line 183, in up File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 262, in recreate_containers File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 293, in recreate_container File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 222, in create_container File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 448, in _get_container_create_options File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 628, in merge_environment File "/Users/aanand/work/docker/fig/build/docker-compose/out00-PYZ.pyz/compose.service", line 660, in env_vars_from_file IOError: [Errno 2] No such file or directory: 'web.env' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: volume mapping does not work properly when host path is the same when i try to create a container with a volume mapping that uses the same host path, its not working ``` docker run --rm -ti --name test1 -v /var/run/docker.sock:/var/run/docker.sock -v /var/run/docker.sock:/tmp/sock -v /usr/bin/docker:/usr/bin/docker busybox /usr/bin/docker inspect --format='{{.Volumes}}' test1 ``` gives me ``` map[/tmp/sock:/run/docker.sock /usr/bin/docker:/usr/bin/docker /var/run/docker.sock:/run/docker.sock] ``` when i run this `fig.yml` via `fig -p fig up`: ``` test2: image: busybox volumes: - /var/run/docker.sock:/tmp/sock - /var/run/docker.sock:/var/run/docker.sock - /usr/bin/docker:/usr/bin/docker command: /usr/bin/docker inspect --format={{.Volumes}} fig_test2_1 ``` i get the following ``` Creating fig_test2_1... Attaching to fig_test2_1 test2_1 | map[/tmp/sock:/var/lib/docker/vfs/dir/20b2479134a353d63b754900fd9363fc704bdba3dd436dba70b96052457e7618 /usr/bin/docker:/usr/bin/docker /var/run/docker.sock:/run/docker.sock] fig_test2_1 exited with code 0 Gracefully stopping... (press Ctrl+C again to force) ``` As you can see the first mapping with `/var/run/docker.sock` is ignored and only the latter is mapped. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Add jax.random.choice It would be nice to have a random weighted choice in jax. We need this to sample bitstrings from a quantum wave function. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Allow channel name to be part of the package name spec For example, to install the `gulp` package from the `javascript` channel on binstar, you would specify the dependency like this: ``` javascript/gulp # or https://conda.binstar.org/javascript/gulp ``` If you required a channel other than `main` (the default channel for binstar), you could specify it like this: ``` https://conda.binstar.org/javascript/channel/dev/gulp ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Incoming link broken on Spanner docs It seems #5938 renamed `usage.html` to `index.html`, but didn't setup any redirects. This is breaking some incoming links, unfortunately. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Clean up `benchmark_args_utils.py` "no_..." arguments # 🚀 Feature request Currently we have a mixture of negative and positive formulated arguments, *e.g.* `no_cuda` and `training` here: https://github.com/huggingface/transformers/blob/0054a48cdd64e7309184a64b399ab2c58d75d4e5/src/transformers/benchmark/benchmark_args_utils.py#L61. We should change all arguments to be positively formulated, *e.g. from `no_cuda` to `cuda`. These arguments should then change their default value from `False` to `True`. Also the help text should be updated to something that is better formulated: "Don't ...." as a help text is not very easy to understand. The motivation is clear: It's better to be consistent in a library and have the code as easy and intuitive to understand. ## Your contribution This is a "good first issue", so I'm happy to help anybody who wants to take a shot at this :-) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Improve performance by avoiding to call "pip freeze" By calling `pip freeze`, in the main module, the actual code slow down every commands. In my case about 1 seconds par call, "just" to check if docker-compose is properly installed. I don't think it worst it. Some tentative to improve this part had been made #5000 and #4698, but it still 1 second (in my case repeated tens time in my makefile) Could we: - remove this check and move it in a dedicated command `docker-compose debug`, or only on `docker-compose version/help` or when an exception is caugth. - or add an env variable to skip this check if would be happy to write the patch. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Truncated output with `fig run` Whenever I do a `fig run` command that returns many lines of output, the output is either truncated, or weirdly garbled. This typically happens when running `fig run web rake routes`. The output will typically come back missing 3-5 lines of output (randomly). `docker run -it --rm $IMAGE rake routes` works just fine. Using fig 1.0.1. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: added %matplotlib --list so backends are easily visible linked to #8444 adding --list argument to show the available backends Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: GAX can't log nested structs This is the root issue in #2521 , if we feel it's the same issue can just rename that one. But when using gax, ``` python from google.cloud import logging client = logging.Client() logger = client.logger('errors') payload = { 'a': { 'b': 'c', } } logger.log_struct(payload) ``` produces: ``` python File "e.py", line 22, in <module> logger.log_struct(payload) File "/Users/waprin/.virtualenvs/tasks/lib/python2.7/site-packages/google/cloud/logging/logger.py", line 226, in log_struct client.logging_api.write_entries([entry_resource]) File "/Users/waprin/.virtualenvs/tasks/lib/python2.7/site-packages/google/cloud/logging/_gax.py", line 108, in write_entries entry_pbs = [_log_entry_mapping_to_pb(entry) for entry in entries] File "/Users/waprin/.virtualenvs/tasks/lib/python2.7/site-packages/google/cloud/logging/_gax.py", line 607, in _log_entry_mapping_to_pb entry_pb.json_payload[key] = value File "/Users/waprin/.virtualenvs/tasks/lib/python2.7/site-packages/google/protobuf/internal/well_known_types.py", line 732, in __setitem__ _SetStructValue(self.fields[key], value) File "/Users/waprin/.virtualenvs/tasks/lib/python2.7/site-packages/google/protobuf/internal/well_known_types.py", line 702, in _SetStructValue raise ValueError('Unexpected type') ValueError: Unexpected type ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Dynamic padding + truncation in classification script # 🚀 Feature request <!-- A clear and concise description of the feature proposal. Please provide a link to the paper and code in case they exist. --> ## Motivation <!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too. --> @VictorSanh @sgugger It seems that it is not possible to use dynamic padding along with truncation in classification script, because when `tokenizer` gets `max_length = None` it just skips truncation. https://github.com/huggingface/transformers/blob/063d8d27f4e1d089dc76f22e378b86b219167e3b/examples/text-classification/run_glue.py#L290 On the other hand, in language modeling script it works. https://github.com/huggingface/transformers/blob/063d8d27f4e1d089dc76f22e378b86b219167e3b/examples/language-modeling/run_mlm.py#L311 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add test for whether heartbeats stay alive post-run This could be implemented by mocking `self.cache_result` for the TaskRunner and having it sleep; if the heartbeat interval is short enough, then if heartbeats are still ongoing we would expect calls to be made. We expect and _want_ heartbeats to end the second the `run` method is complete. **cc:** @jlowin Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Race condition for root environment detection Periodically, when two conda processes are running at the same time, it is possible to see a race condition on determining whether the root environment is writable. Notice how the following produces two different configs from the same setup: ``` $ conda info & conda info Current conda install: platform : osx-64 conda version : 3.18.3 conda-build version : 1.18.0 python version : 2.7.10.final.0 requests version : 2.8.1 root environment : /Users/pelson/miniconda (read only) default environment : /Users/pelson/miniconda envs directories : /Users/pelson/.conda/envs /Users/pelson/envs /Users/pelson/miniconda/envs package cache : /Users/pelson/.conda/envs/.pkgs /Users/pelson/envs/.pkgs /Users/pelson/miniconda/pkgs ... Current conda install: platform : osx-64 conda version : 3.18.3 conda-build version : 1.18.0 python version : 2.7.10.final.0 requests version : 2.8.1 root environment : /Users/pelson/miniconda (writable) default environment : /Users/pelson/miniconda envs directories : /Users/pelson/miniconda/envs package cache : /Users/pelson/miniconda/pkgs ... ``` The offending line is in https://github.com/conda/conda/blob/master/conda/config.py#L135-L143 and https://github.com/conda/conda/blob/master/conda/utils.py#L43-L54. My assumption is that the `.conda-try-write` is being removed by the other process, and the exception is being raised in the `finally` block. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Conda 4.4 doesn't support --platform flag correctly? For example, the portpicker package is not available for Windows. But it still reports it: ``` (base) [nwani@centos6x64 aggregate]$ conda search portpicker --platform win-64 Loading channels: done Name Version Build Channel portpicker 1.2.0 py27h86e0a49_0 https://repo.continuum.io/pkgs/main portpicker 1.2.0 py35h8f64c34_0 https://repo.continuum.io/pkgs/main portpicker 1.2.0 py36h7b3aa6a_0 https://repo.continuum.io/pkgs/main ``` Conda 4.3 is right here: ``` (root) [nwani@some-machine test-pkgs-nwani]$ conda search portpicker --platform win-64 Fetching package metadata ........... PackageNotFoundError: Packages missing in current channels: - portpicker We have searched for the packages in the following channels: - https://repo.continuum.io/pkgs/main/linux-64 - https://repo.continuum.io/pkgs/main/noarch - https://repo.continuum.io/pkgs/free/linux-64 - https://repo.continuum.io/pkgs/free/noarch - https://repo.continuum.io/pkgs/r/linux-64 - https://repo.continuum.io/pkgs/r/noarch - https://repo.continuum.io/pkgs/pro/linux-64 - https://repo.continuum.io/pkgs/pro/noarch ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Registers cannot be index with negative integers or slices <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? It would be nice if the behavior mimicked python lists more. e.g. ```python q = QuantumRegister(5) q[-1] q[-3:-1] etc. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Try to aggregate CMakePresets instead of including them The`CMakeUserPresets` include different `CMakePreset` files from the generators folder, but the `include` functionality requires CMake >=3.23. We can try to aggregate the contents directly maybe following a `conf`. Related https://github.com/conan-io/conan/issues/11623 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: Correctly compute the `templates.count` metric ### What does this PR do? <!-- A brief description of the change being made with this pull request. --> Correctly compute the templates.count metric ### Motivation <!-- What inspired you to submit this pull request? --> - QA for https://github.com/DataDog/integrations-core/pull/14569 which had no tests - The previous implementation was dropping elements from the same list we were iterating on, so the index that were removed were not correct because the list was continuously updated. The previous implementation returned 12 instead of 6. ### Additional Notes <!-- Anything else we should know when reviewing? --> ### Review checklist (to be filled by reviewers) - [ ] Feature or bugfix MUST have appropriate tests (unit, integration, e2e) - [ ] PR title must be written as a CHANGELOG entry [(see why)](https://github.com/DataDog/integrations-core/blob/master/CONTRIBUTING.md#pull-request-title) - [ ] Files changes must correspond to the primary purpose of the PR as described in the title (small unrelated changes should have their own PR) - [ ] PR must have `changelog/` and `integration/` labels attached - [ ] If the PR doesn't need to be tested during QA, please add a `qa/skip-qa` label. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Error printing empty `PauliList` ### Environment - **Qiskit Terra version**: tag v0.19.0 - **Python version**: 3.9 - **Operating system**: Linux ### What is happening? ```python import numpy as np from qiskit.quantum_info import SparsePauliOp, PauliList x = np.array([], dtype=bool) z = np.array([], dtype=bool) pauli_list = PauliList.from_symplectic(x, z) # Exception is raised try: print(pauli_list) except ZeroDivisionError as err: print(f"Can't print pauli_list: {err}") # No problem printing SparsePauliOp print(SparsePauliOp(pauli_list)) ``` prints ``` Can't print pauli_list: integer division or modulo by zero SparsePauliOp([''], coeffs=[1.+0.j]) ``` Part of the stack trace: ``` ~/code/github/Qiskit/oneenv/qiskit-terra/qiskit/quantum_info/operators/symplectic/pauli_list.py in _truncated_str(self, show_class) 194 stop = self._num_paulis 195 if self.__truncate__: --> 196 max_paulis = self.__truncate__ // self.num_qubits 197 if self._num_paulis > max_paulis: 198 stop = max_paulis ``` ### How can we reproduce the issue? Enter the code above ### What should happen? No error should be thrown. ### Any suggestions? check before dividing by zero Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: add a shape inference function to api.py A couple users (including @lukaszkaiser) have requested a way to do shape inference. Maybe we can provide something like `eval_shape` (taking example arguments, as here, or maybe shape tuples): ```python from __future__ import print_function # Look at all these internal imports! Not for the faint of heart. from jax.abstract_arrays import ShapedArray, raise_to_shaped from jax.api_util import pytree_to_jaxtupletree, pytree_fun_to_jaxtupletree_fun from jax.core import get_aval from jax.interpreters import partial_eval as pe from jax.util import unzip2 import jax.linear_util as lu from jax.tree_util import build_tree def abstractify(x): return raise_to_shaped(get_aval(x)) def eval_shape(f, *args): jaxtuple_args, in_trees = unzip2(map(pytree_to_jaxtupletree, args)) f, out_tree = pytree_fun_to_jaxtupletree_fun(lu.wrap_init(f), in_trees) out = pe.abstract_eval_fun(f.call_wrapped, *map(abstractify, jaxtuple_args)) return build_tree(out_tree(), out) ### import jax.numpy as np def fun(x, y): return np.tanh(np.dot(x, y) + 3.) x = np.ones((2, 3)) y = np.ones((3, 4)) out = eval_shape(fun, x, y) print(out) def fun1(): x = np.ones((2, 3)) y = np.ones((3, 4)) return np.tanh(np.dot(x, y) + 3.) out = eval_shape(fun1) print(out) def fun2(x, y): a, b = x return a + b + y x = (np.ones(2), np.ones(2)) y = 3. out = eval_shape(fun2, x, y) print(out) def fun3(x, y): return x[0] + x[1] + y x = (np.ones(2), np.ones(2)) y = 3. out = eval_shape(fun3, x, y) print(out) def fun4(x, y): return {'hi': x[0] + x[1] + y} x = (np.ones(2), np.ones(2)) y = 3. out = eval_shape(fun4, x, y) print(out) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Autodetected arch is empty, producing wrong default profile If platform.machine() returns empty (can do it in some cases, as when called from cmake), the arch is empty, leading to a: ``` arch= ``` In the default profile, which later can result in an error because "" is not a known architecture in settings.yml. It seems that not adding the ``arch=`` in the profile could be the way to go. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Generator/yield-support Functions with yield does not seem to be supported and gives funny results in jit. ``` from jax import jit def yf(x): yield(x) jyf = jit(yf) print(yf, jyf) print(next(yf(1.5))) print(next(jyf(1.5))) ``` Gives: > <function yf at 0x7f79f01a7e18> <function jit.<locals>.f_jitted at 0x7f79f01ab1e0> 1.5 Traced<ShapedArray(float32[], weak_type=True):JaxprTrace(level=-1/1)> Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Fix CpmTokenizer for training/finetuning CPM model When CpmTokenizer extends XLNetTokenizer, it works for inference/generation, but model in training/finetuning will failed after some steps, its error is random like: RuntimeError: CUDA error: device-side assert triggered terminate called after throwing an instance of 'std::runtime_error' what(): NCCL error in: /pytorch/torch/lib/c10d/../c10d/NCCLUtils.hpp:136, unhandled cuda error, NCCL version 2.7.8, failed when in different tensor operation every time, very strange. after extend XLNetTokenizerFast, inference/training/finetuning all working. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User]
I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Watch mode broken  ## Description  I cannot run jupyter lab in watch mode - it get stuck at the `watching files for updates.`... And does not open the web page. Commit hash: 97fd1a19b ## Reproduce  1. `jlpm install` 2. `jlpm run build` 3. `jupyter lab --dev-mode --watch`  ## Expected behavior  watch mode is working ## Context  - Operating System and version: Debian 11 - JupyterLab version: master Troubleshoot Output
 Paste the output from running `jupyter troubleshoot` from the command line here. You may want to sanitize the paths in the output.
  Command Line Output
 Paste the output from your command line running `jupyter lab` here, use `--debug` if possible.
  Browser Output
 Paste the output from your browser Javascript console here.
  Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add support for abs to ParameterExpression <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The `ParameterExpression` supports common functions like `cos` and `sin`, but not `abs`. A minimal example: ``` import numpy as np from qiskit.circuit import Parameter p=Parameter('x') q=Parameter('.1') [np.cos(p), np.cos(q)] [np.abs(p), np.abs(q)] # fails ``` Enhencemant: add `abs` to the `ParameterExpression` class. Notes: Methods like `cos` have been added in this PR: https://github.com/Qiskit/qiskit-terra/pull/4854 There is an open PR to add relational operations for the `ParameterExpression` https://github.com/Qiskit/qiskit-terra/pull/5278, but that does not add `abs`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: sys.path missing `''` as first entry when kernel launched without interface Quite simply, if I launch `ipython` or `ipython console` or `ipython qtconsole`, then `import sys`, it should be the case that `sys.path[0]` is `''`, so that modules in the current directory can be found, just like in a standard python session. However, if I begin by launching `ipython kernel`, and then attach a console/qtconsole to the kernel, this item is not in `sys.path`, so modules in the current directory cannot be imported (unless the current directory is in `$PYTHONPATH` to start with). To confirm, this bug is not present if I launch a console/qtconsole and then attach another interface to the existing session. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: sync shim module with 'firestore_v1' package. See https://github.com/googleapis/google-cloud-python/issues/7533#issuecomment-495917295 &ff. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Markdown output in nbconvert Markdown object rendering as `<IPython.core.display.Markdown object>` in NBViewer and in HTML after using NBConvert I believe the fix should be added here https://github.com/ipython/ipython/blob/482c7bd67eb06652b9a89b4bf4e034a40cf0b61c/IPython/nbconvert/templates/skeleton/display_priority.tpl need to add case for text/markdown and here https://github.com/ipython/ipython/blob/master/IPython/nbconvert/templates/html/basic.tpl Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan remove does not remove empty folders Conan remove does not remove empty folders. Doing a **conan export user/test** for a package named hello followed by a **conan remove hello/0.1@user/test** will leave behind the empty folders hello, 0.1 and user. With hello and 0.1 being quasi empty. This becomes a problem if you want to change the case for a package (hello to Hello) since conan still detects the remaining empty folders. The case problem might be resolved by #171, but letting the empty folders clutter the folder hierarchy seems rather bad. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: qt5.preprocess target error when using the same file name So, an invocation like: `qrc_files = qt5_mod.preprocess(qresources : 'qml.qrc')` In two separate directories reference separate qml.qrc files will fail with: `Tried to create target "qml_qrc", but a target of that name already exists.` Example of this are the two directories in https://cgit.freedesktop.org/gstreamer/gst-plugins-bad/tree/tests/examples/qt/ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Add a volumes and volumeMounts key to the helm chart ### What's the use case? When deploying Dagster with an existing external Postgresql database using SSL, we need to configure Dagit and Dagster daemon to establish SSL connection to the target database. With the current version of dagster helm chart, we can have it done by configuring `postgresql.postgresqlParams` in the custimized values file. However, there has no entry for users to mount the required certificates in Dagit and Dagster daemon. ### Ideas of implementation Add a volumes and volumeMounts key to the helm chart that would allow users to configure additional volumes and the corresponding volume mounts. ### Additional information I have made modifications to templates and schema for adding additional volumes and volume mounts to Dagit and Dagster daemon. After that, Dagit and Dagster daemon are able to establish SSL connection to an existing external Postgresql database. ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Add a --clear-cache flag to fig build Recently, I have encountered problems when using `fig build` due to my build relying on cached, outdated Docker images. In order to get the build to work, I'm forced to alter the Dockerfile trivially in some way to invalidate the cache. This seems like an annoying workaround. Since the importance of this tool is to allow agnostic deployment, it's pretty crucial to be able to follow exactly the same build steps on different machines. If two machines have different caches, they will no longer build in the same way (to my limited understanding) and the value is lost somewhat. Adding a --clear-cache flag that causes a container to be built from scratch, ignoring the cache, would be useful to avoid this problem. I don't know how easy/difficult it would be to implement, however. @cameronmaske can probably add more to this discussion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Use Cassandra as backend to store task results setting ``` CELERY_RESULT_BACKEND = 'cassandra', CASSANDRA_SERVERS = ['localhost:9160'], CASSANDRA_KEYSPACE = 'celery', CASSANDRA_COLUMN_FAMILY = 'task_results', CASSANDRA_READ_CONSISTENCY = 'ONE', CASSANDRA_WRITE_CONSISTENCY = 'ONE', CASSANDRA_OPTIONS = { 'timeout': 300, 'max_retries': 10 } ``` then ``` CREATE KEYSPACE celery WITH replication = {'class': 'SimpleStrategy', 'replication_factor' : 3}; ``` when send a task to celery ``` Cassandra error: NotFoundException(_message=None, why='Column family task_results not found.') ``` Why didn't automatically creates column family 'task_results' like database backend does, and how do I create the column family and set what column_name in it? Document headers argument At the moment there's no much information regarding headers argument for apply_async (and I think also applies to retry). I found out about this reading the changelog for version 3.1, but maybe it could be specified as an optional property for apply_async in the documentation. I can provide the PR for this if you want. Let me know if you agree. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: wraptool error on Debian unstable Hi, Just running : wraptool list Gives me this error : ``` $ wraptool list Traceback (most recent call last): File "/usr/bin/wraptool", line 17, in <module> from mesonbuild.wrap import wraptool File "/usr/share/meson/mesonbuild/wrap/wraptool.py", line 22, in <module> from .wrap import API_ROOT, open_wrapdburl File "/usr/share/meson/mesonbuild/wrap/wrap.py", line 22, in <module> from ..mesonlib import Popen_safe File "/usr/share/meson/mesonbuild/mesonlib.py", line 60, in <module> meson_command = python_command + [detect_meson_py_location()] File "/usr/share/meson/mesonbuild/mesonlib.py", line 51, in detect_meson_py_location raise RuntimeError('Could not determine how to run Meson. Please file a bug with details.') RuntimeError: Could not determine how to run Meson. Please file a bug with details. ``` This is on Debian unstable with meson 0.44.0. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: nbformat v2 notebook with missing 'stream' key in stream outputs @stefanv just sent me an nbformat 2 notebook which was missing the 'stream' keys in stream outputs, and failed to open in current master because of this. @minrk , can you remember if that was ever a valid option in the notebook format? If so, we should support it. If not, we can write it off as having been saved by some broken development version of IPython. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: CMake() build helper should also use CONAN_MAKE_PROGRAM This is a feature request. CMAKE_MAKE_PROGRAM can be set to indicate where to find the ``make`` program when a Makefile-like generator is specified. (Note to myself: partially implemented in my fork in branch `feature/make_program_in_make`, pending tests) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: tweedledum fails to load for arm64 mac <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: latest - **Python version**: - **Operating system**: ### What is the current behavior? At import ``` ImportError: dlopen(/Users/paul/mambaforge/envs/qiskit/lib/python3.9/site-packages/tweedledum/_tweedledum.cpython-39-darwin.so, 2): no suitable image found. Did find: /Users/paul/mambaforge/envs/qiskit/lib/python3.9/site-packages/tweedledum/_tweedledum.cpython-39-darwin.so: mach-o, but wrong architecture /Users/paul/mambaforge/envs/qiskit/lib/python3.9/site-packages/tweedledum/_tweedledum.cpython-39-darwin.so: mach-o, but wrong architecture ``` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Module level documentation no longer shown on RTD Example: https://jax.readthedocs.io/en/latest/jax.experimental.loops.html This used to show the module level docstring, but not anymore. My guess is that this might be related to inserting the line `from __future__ import annotations` into each source file? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: ConsolidateBlocks scales superlinearly <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The transpiler pass ConsolidateBlocks scales superlinearly in the number of circuit operations. Using a random circuit where depth = n_qubits the scaling behaves like n_qubits^3.3. This seems to be largely due to a list comprehension which checks whether predecessors exist in the block. ![image](https://user-images.githubusercontent.com/25756217/138737672-16dd82dd-af01-417f-a51b-027f6722ca03.png) ![image](https://user-images.githubusercontent.com/25756217/138737568-36f0a4d6-a20a-429d-8d8c-b60f7f227edc.png) This was profiled on version 0.19.0.dev0+637acc0. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: InteractiveShell.magic is deprecated but is what we use in history. All in title. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: ipython does not work with python compiled with openssl in fips mode. in fips mode, md5 is disabled. hence, ipython fails with ``` hash_digest = hashlib.md5(code.encode("utf-8")).hexdigest() ValueError: error:060800A3:digital envelope routines:EVP_DigestInit_ex:disabled for fips ``` this error. A fix is changing md5 to sha256 in `IPython/core/compilerop.py` [in this line](https://github.com/ipython/ipython/blob/master/IPython/core/compilerop.py#L58). I can raise a pull request if the change looks fine. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Raise exception with helpful error on Client pickle. Based on the discussion in #3191, raise an exception with a helpful error stating that `Client` classes are not pickleable. Note to self: We probably want this in GAX also. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Pull existing images to update them to new versions Apparently there is no way to pull each configured image to update them to latest versions. I frequently do this because I deploy new versions of my apps by pushing new images to a private repository. Currently I have to run "docker pull" manually for each of them. Could there be a command like: ``` fig pull [service] ``` (If there already is a command for this, I missed it while trying to grep the source code and read the docs.) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [seq2seq] memory regression #9241 introduced a memory regression - found out via git bisect. I was able to do: BS=12 before this PR got merged and now only BS=8 with: ``` export BS=12; rm -r output_dir; CUDA_VISIBLE_DEVICES=0,1 PYTHONPATH=../../src USE_TF=0 python -m torch.distributed.launch --nproc_per_node=2 --master_port=9910 ./finetune_trainer.py --model_name_or_path sshleifer/distill-mbart-en-ro-12-4 --output_dir output_dir --adam_eps 1e-06 --data_dir wmt_en_ro --do_train --freeze_embeds --label_smoothing 0.1 --learning_rate 3e-5 --logging_first_step --logging_steps 1000 --max_source_length 128 --max_target_length 128 --num_train_epochs 1 --overwrite_output_dir --per_device_train_batch_size $BS --sortish_sampler --src_lang en_XX --task translation --tgt_lang ro_RO --val_max_target_length 128 --warmup_steps 500 --n_train 500 --sharded_ddp --fp16 ``` We really need to go back to that issue of memory benchmarks in CI and figure out how to make it happen. The problem is that I started working on it some months back but gave up since each gpu gave different numbers... For details please see: https://github.com/huggingface/transformers/issues/6045 edit: should also make sure that `--label_smoothing 0.1 --fp16 --fp16_backend apex` works https://github.com/huggingface/transformers/issues/9261#issuecomment-749800880 @patrickvonplaten, should we figure this out in the new year? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda.common.signals.signal_handler throwing exceptions on travis The conda.common.signals.signal_handler context manager [introduced in 4.3.14](https://github.com/conda/conda/compare/4.3.13...4.3.14#diff-1ce3aba0f5b5277dc9830e6671cab0f1R35) is causing my travis conda build to fail in the midst of a `conda build` command, throwing `TypeError`s - see [this travis build](https://travis-ci.org/ipython-contrib/jupyter_contrib_nbextensions/jobs/220349775#L633-L662) for a failed example, and then [this build using 4.3.13](https://travis-ci.org/ipython-contrib/jupyter_contrib_nbextensions/jobs/220359572) which does exactly the same with the earlier version which still works. These builds still work fine for me locally (Ubuntu 16.04), so I assume this is something related to Travis (currenlty apparently using Ubuntu 12.04 or 14.04) somehow, although I'm not sure what... Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: missing qiskit/qobj/models/__init__.py <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? `qiskit.qobj.models` package is not created in wheel file. ### Steps to reproduce the problem ### What is the expected behavior? `qiskit/qobj/models` is created. ### Suggested solutions add `qiskit/qobj/models/__init__.py` appropriately. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Setting custom -Doptimization causes failure 1. `meson build .` 2. `meson configure build -Doptimization=s` 3. `ninja -C build/ -v` ``` Traceback (most recent call last): File "/home/soap/gitz/meson/mesonbuild/mesonmain.py", line 364, in run app.generate() File "/home/soap/gitz/meson/mesonbuild/mesonmain.py", line 136, in generate self._generate(env) File "/home/soap/gitz/meson/mesonbuild/mesonmain.py", line 185, in _generate intr.backend.generate(intr) File "/home/soap/gitz/meson/mesonbuild/backend/ninjabackend.py", line 224, in generate self.generate_target(t, outfile) File "/home/soap/gitz/meson/mesonbuild/backend/ninjabackend.py", line 472, in generate_target obj_list.append(self.generate_single_compile(target, outfile, src, False, [], header_deps)) File "/home/soap/gitz/meson/mesonbuild/backend/ninjabackend.py", line 2051, in generate_single_compile commands = self._generate_single_compile(target, compiler, is_generated) File "/home/soap/gitz/meson/mesonbuild/backend/ninjabackend.py", line 1972, in _generate_single_compile commands += self.generate_basic_compiler_args(target, compiler, no_warn_args) File "/home/soap/gitz/meson/mesonbuild/backend/backends.py", line 538, in generate_basic_compiler_args commands += compiler.get_buildtype_args(self.get_option_for_target('buildtype', target)) File "/home/soap/gitz/meson/mesonbuild/compilers/compilers.py", line 1306, in get_buildtype_args return gnulike_buildtype_args[buildtype] KeyError: 'custom' FAILED: build.ninja ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QuantumCircuit `.clear()` and `.copy_empty_like()` functionality ### What should we add? Sometimes it can be useful to erase all instructions in a QuantumCircuit. This request is for: 1. [Clear functionality](https://github.com/pedrorrivero/qiskit-terra/blob/794db4792e97adca4a78eb4f3411c04e50665df7/qiskit/circuit/quantumcircuit.py#L2311-L2313) to erase all instructions from a QuantumCircuit → `.clear()`. We not only need to clear all data, but (at least) also update the parameter table: ```python self.data.clear() self._parameter_table.clear() ``` 2. [Copy empty functionality](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/dagcircuit/dagcircuit.py#L511-L538) to get a cleared copy of a QuantumCircuit → `.copy_empty_like()`. This functionality is already implemented for DAGCircuit, and should retain all relevant circuit properties other than the instructions and associated parameters (e.g. registers, bits, name, metadata). Notice that `quantum_circuit.copy().clear()` would give the desired outcome, however `.copy()` performs a deepcopy of the circuit, which we would then erase almost completely when deleting the instructions, so this method should provide a more efficient way to do this. TODO: - [ ] `.clear()` - [ ] `.copy_empty_like()` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson ignores Genie library project **Describe the bug** Meson ignores Genie library project and declared dependency in other projects **To Reproduce** Create a project with library subproject and executable subproject. In library project, only one Genie source file (.gs) Declare depency In executable project, call previous dependency. Run project (with ninja or other build system) Archive with project : [test-meson.tar.gz](https://github.com/mesonbuild/meson/files/7498206/test-meson.tar.gz) **Expected behavior** Perfect build with library project, regardless source provided **system parameters** * Native build * Ubuntu 21.10 * Python 3.9.7 * meson 0.60.0 * ninja 1.10.1 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: add option to build ".c" or ".gresource" out of gnome.compile_resources() It's not always needed to get `.c` + `.h`. Sometimes it's enough to get only `.c` or `.gresource. ``` (08:21:42 PM) ignatenkobrain: jpakkane: probably not, problem is that glib-compile-resources can generate `.c`, `.c + .h` or `.gresource` (08:21:57 PM) ignatenkobrain: I was thinking what's the best option to give user what exactly he wants (08:23:46 PM) jpakkane: No, that's too magic. Maybe something like have two methods, the current one and compile_gresource that produces a gresource file. Developers could the mix and match based on preference. (08:28:06 PM) ignatenkobrain: or having option: `output_mode` in (`source`, `header`, `sourceheader` (default), `gresource`), wdyt? (08:39:14 AM) TingPing: ignatenkobrain, i agree with simply adding another kwarg for it ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Support rspfile in ninja backend On windows there is a command line limit, so longer calls from ninja with just fail with "CreateProcess: The parameter is incorrect." To reproduce it just do : ``` project('app', 'cpp') executable('app', 'test1.cpp', 'test2.cpp', ... , 'test1000.cpp') ``` And generate build.ninja file. In this case backend will generate one link build command with all 1000 object files. And total length of this command will be longer that maximum command line length on windows. To fix it you need to use [rspfile in ninja](http://martine.github.io/ninja/manual.html#ref_rule) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: NameError: global name 'WindowsError' is not defined After i reinstalling python on mac el capitan, i got the folowing error: > wildan:docker-symfony wildan$ docker-compose up > Traceback (most recent call last): > File "<string>", line 3, in <module> > File "compose/cli/main.py", line 57, in main > File "compose/cli/main.py", line 108, in perform_command > File "contextlib.py", line 35, in **exit** > File "compose/cli/errors.py", line 52, in handle_connection_errors > File "compose/cli/utils.py", line 45, in call_silently > NameError: global name 'WindowsError' is not defined > docker-compose returned -1 Now i use: docker-compose version 1.7.0, build 0d7bf73 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: What's the true meaning of gpus argument in Trainer Hello, I have a question to the "gpus" argument for the Trainer() class. I don't think the documentation is clear in my view. From the docs, I only know that "gpus: Which GPUs to train on.". However, from the link here: https://pytorch-lightning.readthedocs.io/en/latest/multi_gpu.html, I get different answer. 1. DEFAULT (int) specifies how many GPUs to use Trainer(gpus=k) 2. train on 32 GPUs (4 nodes) trainer = Trainer(gpus=8, distributed_backend='ddp', num_nodes=4) Does the gpus mean number of gpu per node or total number of gpus in use? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: No support for conditional debug compilation in D Similar to D's [version identifiers](http://mesonbuild.com/D.html#compiling-different-versions), D also supports conditional compilation with debug flags, with various levels of 'debugness' and debug identifiers. For example with DMD compiler, debug builds should always have the `-debug` flag (not to be confused with `-g`) passed on compilers, which compiles the code inside `debug { }` blocks. The level of 'debugness' can be defined with `-debug=3`, where all the debug levels from 1 to 3 are compiled, and on top of that, extra debug identifiers can also passed with `-debug=DebugFeature`, which similarly compiles the code inside `debug (DebugFeature) { }` block, just like with version identifiers. I can start working on this after the D fixes for Windows are merged in, if nobody has any objections against it. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow for np.integer as pulse duration <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? `duration` of pulse command should be python integer, but this limitation might degrade usability. It is better to allow for `np.integers` - e.g. when we prepare series of pulse commands with many durations with `np.arange`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Stop using undoc-members See https://github.com/GoogleCloudPlatform/gcloud-python/pull/1772/files#r63362850 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: in dbt scaffold, consider leaving out the all-assets schedule We could have a commented-out schedule instead. Having it there is a little awkward because it forces dbt users to confront the difference between jobs and asset groups earlier than they might need to, especially if they end up using declarative scheduling. In our regular Dagster scaffold, we've generally biased towards making things as minimal as possible, rather than giving users example functionality out-of-the-box and expecting them to delete it if they don't need it. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Not reversing the pauli operators in _two_qubit_evolution method ### Environment - **Qiskit Terra version**: 0.19.1 - **Python version**: 3.8.6 - **Operating system**: macOS 12.1 ### What is happening? When we apply exponentiation to PauliSumOp and evolve it using LieTrotter class, we get incorrect quantum circuit. The problem happens only with two-qubit Pauli operator. ### How can we reproduce the issue? ``` from qiskit.circuit.library import PauliEvolutionGate from qiskit.opflow import I, Z operator = (I ^ I ^ Z) + (I ^ Z ^ I) + (I ^ Z ^ Z) print(PauliEvolutionGate(operator).definition.decompose()) q_0: ┤ Rz(2) ├──────── ├───────┤ q_1: ┤ Rz(2) ├─■────── └───────┘ │ZZ(2) q_2: ──────────■────── ``` ### What should happen? The correct quantum circuit is: ``` q_0: ┤ Rz(2) ├─■────── ├───────┤ │ZZ(2) q_1: ┤ Rz(2) ├─■────── └───────┘ q_2: ───────────────── ``` ### Any suggestions? Change the first line of _two_qubit_evolution method to: `labels_as_array = np.array(list(reversed(pauli.to_label()))) ` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Use enum for task_states/dag_states Hello, We use Python 3+, so we should consider using an enumerated type for objects that are buckets for contents This will give us better type hints. https://github.com/apache/airflow/blob/master/airflow/utils/state.py Best regards, Kamil Breguła Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: New dependency type: libintl The functions provided by libintl can be either a compiler built-in (on Linux and macOS) or provided by an external library (on Windows). GLib does this: ```meson if cc.has_function('ngettext') libintl = [] else libintl = cc.find_library('intl', required : false) if not libintl.found() libintl = subproject('proxy-libintl').get_variable('intl_dep') endif endif ``` This simplifies to: ```meson if cc.has_function('ngettext') libintl = [] else libintl = cc.find_library('intl') endif ``` There is no way to specify a 'found dependency with no arguments' in build files, so this complicates the logic quite a bit since you can't call `libintl.found()` without first checking the type. Having a special dependency type would solve this. There are probably more edge-cases ([glib-gettext.m4](https://gitlab.gnome.org/GNOME/glib/blob/4e1488eebb2129c6e39162b56275d311f24216ab/m4macros/glib-gettext.m4)), and we can slowly grow those in Meson as needed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Documentation of histogram2d I think the examples in the documentation of [numpy.histogram2d()](http://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.histogram2d.html) may be a bit confusing to the non-expert user. At least for me it was. I'm talking about the line ``` H, xedges, yedges = np.histogram2d(y, x, bins=(xedges, yedges)) ``` where `x` and `y` are swapped, but `xedges` and `yedges` are not. Perhaps it might be helpful to include an example without explicit bin edges first. I would propose the following snippet: ``` import matplotlib.pyplot as plt import numpy as np # Generate non-symmetric test data n = 10000 x = np.linspace(1, 100, n) y = 2*np.log(x) + np.random.rand(n) - 0.5 # Compute 2d histogram. Note the order of x/y and xedges/yedges H, yedges, xedges = np.histogram2d(y, x, bins=20) # Plot histogram using pcolormesh fig, (ax1, ax2) = plt.subplots(ncols=2, sharey=True) ax1.pcolormesh(xedges, yedges, H, cmap='rainbow') ax1.plot(x, 2*np.log(x), 'k-') ax1.set_xlim(x.min(), x.max()) ax1.set_ylim(y.min(), y.max()) ax1.set_xlabel('x') ax1.set_ylabel('y') ax1.set_title('histogram2d') ax1.grid() # Create hexbin plot for comparison ax2.hexbin(x, y, gridsize=20, cmap='rainbow') ax2.plot(x, 2*np.log(x), 'k-') ax2.set_title('hexbin') ax2.set_xlim(x.min(), x.max()) ax2.set_xlabel('x') ax2.grid() plt.show() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Implement the Circuit Graph plotter in Python <!--- Provide a general summary of the issue in the Title above --> Currently we have a feature that [plots the circuits to .png](https://github.com/QISKit/qiskit-sdk-py/blob/dfc81048662a9473daf1eb0ad8988ea69ee02a59/qiskit/tools/visualization.py#L686), implemented in #295 (closing #235). Ideally, it would be easier for the end-user to be able to use that feature if it was implemented in pure Python, as it currently depends on some "heavy" non-Python software (pdflatex, mostly) that might not be available or installable under all environments. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: DAG pass to determine circuit runtime <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? It should be possible to compute the run time of a circuit at the end of the transpilation process given the gate timing in properties, and the buffer. This could me an additional metadata item. For completeness, this would have to include measurement time, but that is not returned for all devices. This has been requested several times. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda search broken for me on master On master (`4d7286cddf091c0bcf8bd105ad847dd9f57c1ed7`), I now get: ``` $ conda search ... Traceback (most recent call last): File "/Users/ilan/python/bin/conda", line 6, in <module> sys.exit(conda.cli.main()) File "/Users/ilan/conda/conda/cli/main.py", line 120, in main args_func(args, p) File "/Users/ilan/conda/conda/cli/main.py", line 127, in args_func args.func(args, p) File "/Users/ilan/conda/conda/cli/main_search.py", line 118, in execute execute_search(args, parser) File "/Users/ilan/conda/conda/cli/main_search.py", line 155, in execute_search extracted = conda.install.extracted() File "/Users/ilan/conda/conda/install.py", line 749, in extracted return set(dist for dist, rec in package_cache().items() if rec['dirs']) File "/Users/ilan/conda/conda/install.py", line 673, in package_cache add_cached_package(pdir, fn) File "/Users/ilan/conda/conda/install.py", line 627, in add_cached_package url = remove_binstar_tokens(url) File "/Users/ilan/conda/conda/config.py", line 258, in remove_binstar_tokens return BINSTAR_TOKEN_PAT.sub(r'\1', url) TypeError: expected string or buffer ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: np.where performs broadcasting in op-by-op mode The jax version of `np.where` needs to broadcast its arguments to the same shape. When one of the arguments is a constant, the broadcast operation isn't jitted. Examples: - `np.where(dropout_mask, x, 0)` creates an all-zero constant of the same shape as `x` and stores it in global memory. This potentially wastes hundreds of MB of global memory. - A similar problem occurs for the first argument (condition) of `np.where` if it has fewer dimensions than the other two arguments. The first instance can be worked around by doing `np.where(condition, x, np.zeros_like(x))`, but working around the second is trickier without resorting to `lax.tie_in`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Ambiguous documentation example for `array_split` <!-- Please describe the issue in detail here, and fill in the fields below --> The examples make it unclear as to whether `array_split`, with arguments `ary` and `n`, splits `ary` into 1. `n` arrays of near equal size, or 2. a few arrays of near equal size, with the maximum array length capped at `n`. ### Reproducing code example: <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> The existing code examples are: ```python import numpy as np x = np.arange(8.0) np.array_split(x, 3) # [array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7.])] x = np.arange(7.0) np.array_split(x, 3) # [array([0., 1., 2.]), array([3., 4.]), array([5., 6.])] ``` A better code example is ```python import numpy as np c = np.arange(9) np.array_split(c, 4) # [array([0, 1, 2]), array([3, 4]), array([5, 6]), array([7, 8])] ``` ### Link: https://numpy.org/doc/stable/reference/generated/numpy.array_split.html Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: deprecated: epoch indexing from 1 ## What does this PR do? Clean up deprecated epoch indexing, starting from 1 ## PR review Anyone in the community is free to review the PR once the tests have passed. If we didn't discuss your PR in Github issues there's a high chance it will not be merged. ## Did you have fun? Make sure you had fun coding 🙃 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Sending SIGHUP leaks file handles When sending SIGHUP to the Celery master process, it leaks all of its previously open file handles when calling exec. This is a regression introduced in 3.1 by 118b300fcad4e6ffb0178fc00cf9fe26075101a5 (originally fixed in 803655b79ccb0403f47cfcd2cfa5a6ed66301cbc for #1270). This additionally causes Celery to crash after enough HUPs (if the open file limit is larger than 1024): ``` ERROR celery.bootsteps Error on stopping Pool: ValueError('filedescriptor out of range in select()',) Traceback (most recent call last): File "celery/bootsteps.py", line 155, in send_all fun(parent, *args) File "celery/bootsteps.py", line 377, in stop return self.obj.stop() File "celery/concurrency/base.py", line 119, in stop self.on_stop() File "celery/concurrency/prefork.py", line 140, in on_stop self._pool.join() File "billiard/pool.py", line 1523, in join stop_if_not_current(self._result_handler) File "billiard/pool.py", line 148, in stop_if_not_current thread.stop(timeout) File "billiard/pool.py", line 493, in stop self.on_stop_not_started() File "celery/concurrency/asynpool.py", line 301, in on_stop_not_started join_exited_workers(shutdown=True) File "billiard/pool.py", line 1109, in _join_exited_workers self.process_flush_queues(worker) File "celery/concurrency/asynpool.py", line 1082, in process_flush_queues readable, _, again = _select(fds, None, fds, timeout=0.01) File "celery/concurrency/asynpool.py", line 141, in _select r, w, e = select.select(readers, writers, err, timeout) ValueError: filedescriptor out of range in select() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: run_target improperly handles command if 'python' is in meson's installation path My build environment is RHEL 7.6 with the python 3.6 Red Hat software collection enabled in my .bashrc. Meson was installed by running ``pip3.6 install .`` as root in the ``meson-0.49.0/`` folder from a fresh download. (This issue also happens in meson 48.) I was setting up a custom run_target to run cppcheck with the command ``` run_target('cppcheck', command : ['cppcheck', '--project=' + join_paths(meson.build_root(), 'compile_commands.json')]) ``` but noticed that it was failing to run with the following error message: ``` Could not execute command "--project=[build dir]/compile_commands.json". File not found. FAILED: meson-cppcheck /opt/rh/rh-python36/root/usr/bin/meson --internal commandrunner [src dir] [build dir] '' /opt/rh/rh-python36/root/usr/bin/meson cppcheck --project=[build dir]/compile_commands.json ninja: build stopped: subcommand failed ``` I traced the issue for a bit and it the issue appears to be in ``commandrunner.py`` line 61 (ironically the line with the comment "Hack." haha): it looks for the presence of the string ``python`` in the meson path, presumably to catch instances of meson being launched with a ``python3 meson`` call. However it ignores the possibility that python is simply a part of the path to the meson executable. When this happens, the commandrunner script grabs the fifth argument and assumes that it's part of the meson command, which is wrong. I'm currently working around the issue by inserting an empty argument into the run_target command, like this: ``` run_target('cppcheck', command : ['', 'cppcheck', '--project=' + join_paths(meson.build_root(), 'compile_commands.json')]) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Azure result handlers are not compatible with environment variable settings ## Description *A clear description of the bug* (As reported in Slack) ``` storage = Azure(container="prefect-flows") with Flow("Hello World from Azure!", storage=storage) as flow: simple_task_test() flow.register() ``` ``` AZURE_STORAGE_CONNECTION_STRING=XXXXXX prefect agent start ``` Because the Azure result handler has a default secret name, [this condition](https://github.com/PrefectHQ/prefect/blob/master/src/prefect/engine/result_handlers/azure_result_handler.py#L58) is always met and so the result handler doesn't respect the environment variable. ## Expected Behavior *What did you expect to happen instead?* The connection string provided in the environment variable should be used instead of the default Secret name. For now, a workaround is to manually overwrite the default secret name: ``` flow.result_handler.azure_credentials_secret=None ``` ## Reproduction *A minimal example that exhibits the behavior.* ## Environment *Any additional information about your environment* *Optionally run `prefect diagnostics` from the command line and paste the information here* Can you help me debug this systematically and explain your reasoning?